Nicola Prette

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34th cycle (2018-2021)

Ph.D. obtained in 2022

Dissertation:

Advanced methods and deep learning for video and satellite data compression (Abstract)

Tutors:

Enrico Magli Tiziano Bianchi

Research presentation:

Video presentation

Profile

Research topic

Video Compression using Deep Neural Networks

Research interests

Big Data, Machine Learning, Neural Networks and Data Science
Multimedia Signal Processing

Biography


I am a PhD of the 34th cycle in the Department of Electrics, Electtronics and Telecommunications. The field of my research is Image and Video processing, and in particular I am developing a Video Compression algorithm based on Deep Neural Networks in the scope of a project powered by Rai dedicated to the development of new techniques for video coding. This work is being carried on under the Supervision of professors Enrico Magli, Tiziano Bianchi and Diego Valsesia of the Image Processing Lab inside Politecnico di Torino and with the collaboration of the interdepartmental center Smart Data.

I received a Master Degree in the Communications And Computer Networks Engineering in 2017 with a grade of 108/110 after a thesis period in the Sony Stuttgart Technology EuTEC Research Center with a work with the title “Multispectral Neural Networks using Neural Network”.

After graduation I collaborated for 8 months with the project EO-ALERT – “Next Generation Satellite Processing Chain for Rapid Civil Alerts” as a member of the Image Processing Lab. During this period I worked at implementing a compression algorithm for optical and SAR images on-board of satellites.

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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